{"id":"W3035297404","doi":"10.1038/s42004-020-0323-0","title":"Extended experimental inferential structure determination method in determining the structural ensembles of disordered protein states","year":2020,"lang":"en","type":"article","venue":"Communications Chemistry","topic":"Protein Structure and Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Family Physicians of Canada; University of Toronto; Hospital for Sick Children","funders":"National Institute of General Medical Sciences; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Health and Human Services; National Institutes of Health; Office of Science; Canada Research Chairs; National Energy Research Scientific Computing Center; U.S. Department of Energy","keywords":"Statistical physics; Materials science; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008348647,0.0007182152,0.0008244735,0.001177559,0.0004551601,0.0007967618,0.00155057,0.0006266306,0.001033644],"category_scores_gemma":[0.0116047,0.0004864522,0.0006311692,0.0006774799,0.0009658111,0.00118066,0.001311131,0.001061861,0.0001818833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006639953,"about_ca_system_score_gemma":0.001406312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001455538,"about_ca_topic_score_gemma":0.001576188,"domain_scores_codex":[0.9969867,0.001883877,0.0001525335,0.0003423909,0.0005614564,0.00007307547],"domain_scores_gemma":[0.9933734,0.004892507,0.000468713,0.0006475883,0.0004882551,0.0001295484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004515807,0.0002740938,0.009913671,0.0002227268,0.0002477313,0.0001926254,0.0001403254,0.7986329,0.01799642,0.02384355,0.0006047822,0.1474796],"study_design_scores_gemma":[0.0000126137,0.00003071656,0.0005067941,0.00000606663,0.000008180431,0.00002762097,0.000006170098,0.989631,0.0035773,0.005843716,0.0003377226,0.00001212388],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03288215,0.0001369082,0.965875,0.00005749122,0.000009124382,0.00003863199,0.0001293343,0.0005219922,0.0003494191],"genre_scores_gemma":[0.4323005,0.0001238926,0.5661628,0.0001031354,0.0000194716,0.0001864479,0.0006089046,0.0001103027,0.0003845121],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008348647,"threshold_uncertainty_score":0.04415238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01476817637326996,"score_gpt":0.3077322555688287,"score_spread":0.2929640791955588,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}